At ELITECODE TECHNOLOGICAL SOLUTIONS, I create ETL pipelines with Azure Data Factory, building pipelines, activities, datasets, and data flows. I also design and deploy ETL and ELT jobs to prepare data for end-user analytics.
On the Family Dollar project, I used Azure compute services including Databricks and Spark to develop transformation logic and stage transformed data. I also supported development with Logic Apps, Azure Function apps, and PowerShell Workflows.
I work with Python and SQL for data engineering, including data modeling, stored procedures, and transformations. I also automate scheduling and monitor data movement jobs.
